Soil Quality Assessment Using Weighted Fuzzy Association Rules
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Cited by (46)
Evaluation of soil quality through simple additive soil quality index (SQI) of Tehsil Charsadda, Khyber Pakhtunkhwa, Pakistan
2024, Journal of the Saudi Society of Agricultural SciencesAssessing the effects of different long-term ecological engineering enclosures on soil quality in an alpine desert grassland area
2022, Ecological IndicatorsCitation Excerpt :Soil quality cannot be directly quantified, requiring the comprehensive evaluation of the physical, chemical, and biological properties of soil (Andrews and Carroll, 2001; Sanchez-Navarro et al., 2015; Efdal et al., 2019). The common soil quality evaluation methods include the soil quality card and monitoring system (Ditzler and Tugel, 2002), the soil quality index (Doran and Parkin, 1995; Doran and ParKin, 1997), the fuzzy correlation method (Xue et al., 2010; Pirnazar et al.,2018), the dynamic soil quality model (Doran et al., 1994), and the soil management evaluation method (Zhang et al., 2006; Karlen et al., 2008; Moeskops et al., 2012; Li et al., 2021). Recently, many scholars have used the soil quality index (SQI) to quantitatively evaluate the comprehensive soil quality.
Soil quality evaluation of various microtopography types at different restoration modes in the loess area of Northern Shaanxi
2021, CatenaCitation Excerpt :Soil quality and ecosystem development status can be objectively and directly reflected by quantitative evaluations of soil physical, chemical and biological indicators (Çelik et al., 2021; Kiani et al., 2017; Paz‐Ferreiro and Fu, 2016; Valani et al., 2020; Vasu et al., 2021). At present, numerous soil quality evaluation methods have been developed, such as grey correlation analysis (Yang et al., 2010), principal component analysis (Jin et al., 2021; Yu et al., 2018), the integration index method (Shao et al., 2020; Zhang et al., 2019), fuzzy comprehensive evaluation (Xue et al., 2010), and the dynamic method (Hussain et al., 1999). Among all the methods, the integration index method has been widely used because of its simplicity and flexibility for evaluating soil quality.
Supported by the National Natural Science Foundation of China (Nos. 40671145 and 60573115), and the Provincial Natural Science Foundation of Guangdong, China (Nos. 04300504 and 05006623).